Datasets:
File size: 6,653 Bytes
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---
language:
- da
- sv
- 'no'
- is
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 10M<n<100M
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
pretty_name: ScandiReddit
configs:
- config_name: da
data_files:
- split: train
path: da/train-*
- config_name: is
data_files:
- split: train
path: is/train-*
- config_name: 'no'
data_files:
- split: train
path: no/train-*
- config_name: sv
data_files:
- split: train
path: sv/train-*
dataset_info:
- config_name: da
features:
- name: doc
dtype: string
- name: subreddit
dtype: string
- name: language
dtype: string
- name: language_confidence
dtype: float64
splits:
- name: train
num_bytes: 1386063758.1912868
num_examples: 4965195
download_size: 849659088
dataset_size: 1386063758.1912868
- config_name: is
features:
- name: doc
dtype: string
- name: subreddit
dtype: string
- name: language
dtype: string
- name: language_confidence
dtype: float64
splits:
- name: train
num_bytes: 57698465.441296645
num_examples: 206689
download_size: 41270604
dataset_size: 57698465.441296645
- config_name: 'no'
features:
- name: doc
dtype: string
- name: subreddit
dtype: string
- name: language
dtype: string
- name: language_confidence
dtype: float64
splits:
- name: train
num_bytes: 374200184.6740509
num_examples: 1340470
download_size: 286174352
dataset_size: 374200184.6740509
- config_name: sv
features:
- name: doc
dtype: string
- name: subreddit
dtype: string
- name: language
dtype: string
- name: language_confidence
dtype: float64
splits:
- name: train
num_bytes: 1944996792.6933656
num_examples: 6967420
download_size: 1164301734
dataset_size: 1944996792.6933656
---
# Dataset Card for ScandiReddit
## Dataset Description
- **Repository:** <https://github.com/alexandrainst/ScandiReddit>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 2341 MB
- **Size of the generated dataset:** 3594 MB
- **Total amount of disk used:** 5935 MB
### Dataset Summary
ScandiReddit is a filtered and post-processed corpus consisting of comments from [Reddit](https://reddit.com/).
All Reddit comments from December 2005 up until October 2022 were downloaded through [PushShift](https://files.pushshift.io/reddit/comments/), after which these were filtered based on the FastText language detection model. Any comment which was classified as Danish (`da`), Norwegian (`no`), Swedish (`sv`) or Icelandic (`is`) with a confidence score above 70% was kept.
The resulting comments were then deduplicated, removing roughly 438,000 comments. 5,000 comments written by Reddit bots were removed, and roughly 189,000 comments belonging to inappropriate subreddits (explicit and drug-related) were also removed.
Lastly, we remove roughly 40,000 near-duplicate comments from the resulting corpus, where near-duplicate here means that the comments have more than 80% of their word 5-grams in common.
### Supported Tasks and Leaderboards
Training language models is the intended task for this dataset. No leaderboard is active at this point.
### Languages
The dataset is available in Danish (`da`), Swedish (`sv`), Norwegian (`no`) and Icelandic (`is`).
## Dataset Structure
### Data Instances
- **Size of downloaded dataset files:** 2341 MB
- **Size of the generated dataset:** 3594 MB
- **Total amount of disk used:** 5935 MB
An example from the dataset looks as follows.
```
{
'doc': 'Bergen er ødelagt. Det er ikke moro mer.',
'subreddit': 'Norway',
'language': 'da',
'language_confidence': 0.7472341656684875
}
```
### Data Fields
The data fields are the same among all splits.
- `doc`: a `string` feature.
- `subreddit`: a `string` feature.
- `language`: a `string` feature.
- `language_confidence`: a `float64` feature.
### Language Distribution
| name | count |
|----------|---------:|
| sv | 6,967,420 |
| da | 4,965,195 |
| no | 1,340,470 |
| is | 206,689 |
| total | 13,479,774 |
### Top-50 Subreddit Distribution
| name | count |
|----------|--------:|
|sweden |4,881,483|
|Denmark |3,579,178|
|norge |1,281,655|
|svenskpolitik | 771,960|
|InfluencergossipDK | 649,910|
|swedishproblems | 339,683|
|Iceland | 183,488|
|dkfinance | 113,860|
|unket | 81,077|
|DanishEnts | 69,055|
|dankmark | 62,928|
|swedents | 58,576|
|scandinavia | 57,136|
|Allsvenskan | 56,006|
|Gothenburg | 54,395|
|stockholm | 51,016|
|ISKbets | 47,944|
|Sverige | 39,552|
|SWARJE | 34,691|
|GossipDK | 29,332|
|NorskFotball | 28,571|
|Superligaen | 23,641|
|Aarhus | 22,516|
|Svenska | 20,561|
|newsdk | 19,893|
|AskReddit | 16,672|
|copenhagen | 16,668|
|okpolarncp | 16,583|
|SwedditUniversalis | 15,990|
|Sveriges_politik | 15,058|
|intresseklubben | 13,246|
|Aktiemarknaden | 13,202|
|soccer | 12,637|
|teenagers | 10,845|
|Norway | 10,680|
|europe | 10,247|
|Matinbum | 9,792|
|oslo | 9,650|
|iksdagen | 9,232|
|Asksweddit | 8,851|
|Forsvaret | 8,641|
|Sverigesforsvarsmakt | 8,469|
|memes | 8,299|
|Danish | 8,268|
|DANMAG | 8,214|
|PewdiepieSubmissions | 7,800|
|sweddpolitik | 7,646|
|pinsamt | 7,318|
|arbetarrorelsen | 7,317|
|Ishockey | 6,824|
## Dataset Creation
### Curation Rationale
The Scandinavian languages do not have many open source social media datasets.
### Source Data
The raw Reddit data was collected through [PushShift](https://files.pushshift.io/reddit/comments/).
## Additional Information
### Dataset Curators
[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra
Institute](https://alexandra.dk/) curated this dataset.
### Licensing Information
The dataset is licensed under the [CC BY 4.0
license](https://creativecommons.org/licenses/by/4.0/).
|